Amazon Japan G. K.
Technology
AmazonScienceFellow
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Amazon Science Fellow at Amazon Japan G. K.. Skills: Machine Learning, Data Science, Prototyping. Develop new prototypes and concepts. Carry out projects”
What You'll Achieve.
Impact millions of customers; Publish manuscripts; Grow faster; Better serving customers
Industry & Context.
Systematic understanding
What They're Looking For.
Must Have
Enrolled in a Japanese university, Researching Statistics, Machine Learning, Economics, or related discipline, Experience programming in Java, C++, Python or related language, Experience with SQL and an RDBMS (e. g. , Oracle) or Data Warehouse, Are enrolled in a Bachelor's degree or above in Engineering, Computer Science, Machine Learning, Operations Research, Statistics, or related fields
Nice to Have
Experience implementing algorithms using both toolkits and self-developed code, Have publications at top-tier peer-reviewed conferences or journals
What You'll Do.
Develop new prototypes and concepts
Invent and develop products
Develop rigorous science models
Link models to impactful applications
Study implications of agentic shopping
Run controlled experiments
Measure agent-human decision divergence
Influence agent behavior
How You'll Work.
Team & Collaboration
Work with Product Managers; Work with Business stakeholders; Collaboration between scientists
Full Job Description
日本の大学で機械学習や関連領域の研究に従事している学生の皆様に向けたフェローシッププログラムのご案内です。Amazon JapanのRetail Scienceチームでは、何百万人もの顧客にインパクトを与える価値あるテクノロジーに繋がるような、新しいプロトタイプやコンセプトを開発するプロジェクトに従事していただく学生を募集しています。プログラムは1ヶ月から3ヶ月の短期間のプロジェクトになります。 プロジェクトの対象となるテーマには、自然言語処理、表現学習、レコメンデーションシステム、因果推論といった領域が含まれますが、これらに限定されるわけではありません。プロジェクトは、チームのシニアサイエンティスト1名または複数名のガイダンスのもとで定義、遂行され、プロジェクト中は他のサイエンティストもメンターとしてフォローします。 学生の皆様が新しいモデルを考案したり、新しいテクノロジーを活用し実験する時間を最大化できるようにすることが目標です。そのため、プロジェクトではエンジニアリングやスケーリングよりも、プロトタイピングを行い具体的に概念実証を行うことに集中します。 また、Amazonでは論文出版も推奨しています。従事した研究開発活動の成果物として出版される論文には著者として参加することになります。 フェローシッププログラムは目黒の東京オフィスで、他のチームと一緒に行われます。Amazonは、プログラム期間中に必要なIT機器(ラップトップなど)、給与と通勤費を支給します。 Are you a current PhD student enrolled in a Japanese university researching Statistics, Machine Learning, Economics, or a related discipline? The Japan Retail Science team is looking for Fellows for short term (1-3 months) projects to develop new prototypes and concepts that can then be translated into meaningful technologies impacting millions of customers. In this position, you will be assigned a project to carry out from areas including but not limited to natural language processing, representation learning, recommender systems, or causal inference. The project will be defined and carried out under the supervision of one or more of our senior scientists, and you will be assigned another scientist as a mentor to follow you during the project. Our goal is to maximize the time you spend on inventing new models and experimenting with new techniques, so the work will concentrate on prototyping and creating a tangible proof of concept, rather than engineering and scaling. Amazon encourages publications, and you will be included as an author of any published manuscript. The fellowship will be carried out from our Tokyo office in Meguro together with the rest of the team. Amazon will provide the necessary IT equipment (laptop, etc.) for the duration of the fellowship, a salary, and commuting expenses. Key job responsibilities このフェローシップは、エージ
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